2008
DOI: 10.1134/s0965542508080083
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Automatic parallel generation of tetrahedral grids by using a domain decomposition approach

Abstract: An algorithm for the automatic parallel generation of three-dimensional unstructured grids based on geometric domain decomposition is proposed. A software package based on this algorithm is described. Examples of generating meshes for some application problems on a multiprocessor computer are presented. It is shown that the parallel algorithm can significantly ( by a factor of several tens) reduce the mesh generation time. Moreover, it can easily generate meshes with as many as 5 x 10(7) elements, which can ha… Show more

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Cited by 7 publications
(2 citation statements)
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“…In contrast, as previously mentioned, a further speed-up of the mesh generation through parallelization is less easy to achieve. A combination of the existing methods based on domain decomposition (Lo 2012;Andrä et al 2008) and the here presented precomputation of the FEM mesh around the DBS lead would be desirable. An easier possibility to speed-up the generation of the FEM mesh is to accelerate the merging of the precomputed mesh around the DBS lead with the on-the-fly generated mesh of the brain volume.…”
Section: Discussionmentioning
confidence: 99%
“…In contrast, as previously mentioned, a further speed-up of the mesh generation through parallelization is less easy to achieve. A combination of the existing methods based on domain decomposition (Lo 2012;Andrä et al 2008) and the here presented precomputation of the FEM mesh around the DBS lead would be desirable. An easier possibility to speed-up the generation of the FEM mesh is to accelerate the merging of the precomputed mesh around the DBS lead with the on-the-fly generated mesh of the brain volume.…”
Section: Discussionmentioning
confidence: 99%
“…Multiple algorithms modify the mesh only in two-dimensional case [7]. Parallel computations have recently become of great concern while developing and modification of finite-element meshes [8].…”
Section: Introductionmentioning
confidence: 99%